Materials Data Science: Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cham
Springer
2024
|
| Schriftenreihe: | The Materials Research Society Series
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| Schlagwörter: | |
| Links: | https://doi.org/10.1007/978-3-031-46565-9 https://doi.org/10.1007/978-3-031-46565-9 https://doi.org/10.1007/978-3-031-46565-9 https://doi.org/10.1007/978-3-031-46565-9 https://doi.org/10.1007/978-3-031-46565-9 |
| Umfang: | 1 Online-Ressource (xxvi, 618 Seiten) Illustrationen, Diagramme |
| ISBN: | 9783031465659 |
| ISSN: | 2730-7379 |
| DOI: | 10.1007/978-3-031-46565-9 |
Internformat
MARC
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Datensatz im Suchindex
| _version_ | 1818992063037833216 |
|---|---|
| any_adam_object | |
| author | Sandfeld, Stefan |
| author_facet | Sandfeld, Stefan |
| author_role | aut |
| author_sort | Sandfeld, Stefan |
| author_variant | s s ss |
| building | Verbundindex |
| bvnumber | BV049725549 |
| classification_rvk | UQ 8000 |
| classification_tum | CHE 000 |
| collection | ZDB-2-CMS ZDB-2-SEB |
| ctrlnum | (ZDB-2-CMS)9783031465659 (OCoLC)1437887344 (DE-599)BVBBV049725549 |
| dewey-full | 620,112 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 620 - Engineering and allied operations |
| dewey-raw | 620,112 |
| dewey-search | 620,112 |
| dewey-sort | 3620 3112 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Chemie / Pharmazie Physik |
| doi_str_mv | 10.1007/978-3-031-46565-9 |
| format | Electronic eBook |
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| id | DE-604.BV049725549 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T20:20:12Z |
| institution | BVB |
| isbn | 9783031465659 |
| issn | 2730-7379 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035067849 |
| oclc_num | 1437887344 |
| open_access_boolean | |
| owner | DE-1050 DE-1028 DE-634 DE-573 |
| owner_facet | DE-1050 DE-1028 DE-634 DE-573 |
| physical | 1 Online-Ressource (xxvi, 618 Seiten) Illustrationen, Diagramme |
| psigel | ZDB-2-CMS ZDB-2-SEB ZDB-2-CMS_2024 |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | Springer |
| record_format | marc |
| series2 | The Materials Research Society Series |
| spelling | Sandfeld, Stefan Verfasser aut Materials Data Science Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering Stefan Sandfeld Cham Springer 2024 1 Online-Ressource (xxvi, 618 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier The Materials Research Society Series 2730-7379 Materials Characterization Technique Data Mining and Knowledge Discovery Artificial Intelligence Data Structures and Information Theory Materials / Analysis Data mining Artificial intelligence Data structures (Computer science) Information theory Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Materialinformatik (DE-588)1329350294 gnd rswk-swf Informationstheorie (DE-588)4026927-9 gnd rswk-swf Datenorganisation (DE-588)4214962-9 gnd rswk-swf Materialinformatik (DE-588)1329350294 s Data Mining (DE-588)4428654-5 s Künstliche Intelligenz (DE-588)4033447-8 s Datenorganisation (DE-588)4214962-9 s Informationstheorie (DE-588)4026927-9 s DE-604 Erscheint auch als Druck-Ausgabe 978-3-031-46564-2 Erscheint auch als Druck-Ausgabe 978-3-031-46566-6 Erscheint auch als Druck-Ausgabe 978-3-031-46567-3 https://doi.org/10.1007/978-3-031-46565-9 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Sandfeld, Stefan Materials Data Science Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering Materials Characterization Technique Data Mining and Knowledge Discovery Artificial Intelligence Data Structures and Information Theory Materials / Analysis Data mining Artificial intelligence Data structures (Computer science) Information theory Künstliche Intelligenz (DE-588)4033447-8 gnd Data Mining (DE-588)4428654-5 gnd Materialinformatik (DE-588)1329350294 gnd Informationstheorie (DE-588)4026927-9 gnd Datenorganisation (DE-588)4214962-9 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)4428654-5 (DE-588)1329350294 (DE-588)4026927-9 (DE-588)4214962-9 |
| title | Materials Data Science Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering |
| title_auth | Materials Data Science Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering |
| title_exact_search | Materials Data Science Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering |
| title_full | Materials Data Science Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering Stefan Sandfeld |
| title_fullStr | Materials Data Science Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering Stefan Sandfeld |
| title_full_unstemmed | Materials Data Science Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering Stefan Sandfeld |
| title_short | Materials Data Science |
| title_sort | materials data science introduction to data mining machine learning and data driven predictions for materials science and engineering |
| title_sub | Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering |
| topic | Materials Characterization Technique Data Mining and Knowledge Discovery Artificial Intelligence Data Structures and Information Theory Materials / Analysis Data mining Artificial intelligence Data structures (Computer science) Information theory Künstliche Intelligenz (DE-588)4033447-8 gnd Data Mining (DE-588)4428654-5 gnd Materialinformatik (DE-588)1329350294 gnd Informationstheorie (DE-588)4026927-9 gnd Datenorganisation (DE-588)4214962-9 gnd |
| topic_facet | Materials Characterization Technique Data Mining and Knowledge Discovery Artificial Intelligence Data Structures and Information Theory Materials / Analysis Data mining Artificial intelligence Data structures (Computer science) Information theory Künstliche Intelligenz Data Mining Materialinformatik Informationstheorie Datenorganisation |
| url | https://doi.org/10.1007/978-3-031-46565-9 |
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